scholarly journals Psychometric properties of the Arabic version of EPDS and BDI-II as a screening tool for antenatal depression: evidence from Qatar

BMJ Open ◽  
2019 ◽  
Vol 9 (9) ◽  
pp. e030365 ◽  
Author(s):  
Sarah Naja ◽  
Noora Al-Kubaisi ◽  
Mohamad Chehab ◽  
Ayman Al-Dahshan ◽  
Nada Abuhashem ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Psychometric Properties ◽  
Primary Healthcare ◽  
Depression Scale ◽  
Area Under The Curve ◽  
Arabic Language ◽  
Antenatal Depression ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Youden’S Index

ObjectivesThe current study aimed to validate and determine the psychometric properties of the Arabic versions of the Beck Depression Inventory-II (BDI-II) and the Edinburgh Postnatal Depression Scale (EPDS) in Qatar.DesignA cross-sectional study design was employed.SettingAntenatal care (ANC) clinics at nine primary healthcare centres.ParticipantsPregnant women (n=128) aged 15–46 years in different trimesters of pregnancy, attending the ANC clinics as well as capable of reading and writing in the Arabic language.ResultsA total of 128 participants were enrolled. On conducting the receiver operating characteristic (ROC) analysis, the EPDS showed a larger area under the curve at 0.951 than the BDI-II tool (0.912). Using Youden’s index, a score>13 on the EPDS (87% sensitivity, 90% specificity) and>19 on the BDI-II (96% sensitivity, 73% specificity) allowed for the greatest division between depressed and non-depressed participants.ConclusionTo address the under-recognition of antenatal depression, physicians at primary healthcare centres in Qatar should be encouraged to utilise the EPDS to screen pregnant women seeking ANC services.

scholarly journals Prevalence of Depression among Antenatal Women in Sriperumbudur, Chennai

2021 ◽  
pp. 347-354
Author(s):  
Jayashree Kannappan ◽  
Abhilash Kannappan ◽  
V. S. Prema Subathiraa ◽  
Shanthi Dinakaran ◽  
P. S. Jikki Kalaselvi
Keyword(s):  
Pregnant Women ◽  
Economic Status ◽  
Depression Scale ◽  
Antenatal Depression ◽  
Cross Sectional Study ◽  
P Value ◽  
Hamilton Depression Scale ◽  
Cross Sectional ◽  
Exact Test ◽  
Prevalence Of Depression

Background: Women are twice as likely as males to suffer from mood disorders, which tend to cluster around the childbearing years. Depression negatively influences maternal and neonatal outcomes. Objective: The objective of the study is to estimate the prevalence of depression in pregnant women aged 18 – 35 yrs and to identify predictors accounting for variability across estimates during pandemic. Methodology: This is a cross sectional study, conducted among 74 pregnant women coming for antenatal checkups in the Sriperumbudur, Chennai. Using height and weight values obtained from the sample, Body Mass Index (weight in kg/height in metre squares) was calculated. Hamilton – Depression Scale (HAM-d) was applied after initial psychiatry work up to all women who were selected for the interview. Mean of parameters were assessed and correlation value were calculated by Fisher’s exact test. The statistically significant P value was less than 0.05. Results: The sociodemographic variables have been found as significant contributors in explaining the variability of the prevalence rates of antenatal depression. It showed positive correlation between economic status and depression (p<0.05) and a negative correlation between obesity and depression (p>0.05). According to the findings, fewer than 1/3rd of pregnant women experience depression as a result of life circumstances such as economic crises in order to support their families. These were identified as significant associate variables (P>0.05). And also, this study identified insufficient socioeconomic assistance were more likely to experience multiple psychological discomfort [atleast 1] than women who got appropriate economic support. (r = -0.118, P < 0.001) Conclusion: In rural Tamilnadu, the prevalence of antenatal depression among women is significant. Antenatal Depression is caused by a number of circumstances, including physical, obstetric, economic, and family-related issues. To treat these antenatal depression risk factors, comprehensive therapies are required.

scholarly journals Depression during Pregnancy in a Tertiary Care Center of Eastern Nepal

2008 ◽  
Vol 47 (171) ◽  
Author(s):  
Rabi Shakya ◽  
S Sitaula ◽  
P M Shyangwa
Keyword(s):  
Pregnant Women ◽  
Care Center ◽  
Tertiary Care ◽  
Depression Scale ◽  
Antenatal Depression ◽  
Cross Sectional Study ◽  
Hamilton Depression Scale ◽  
Cross Sectional ◽  
The Family ◽  
Work Up

This is a cross sectional study, conducted in 45 pregnant women coming for antenatal check ups in the eastern regional hospitals in Nepal. Hamilton -Depression Scale (HAM-d) was applied after initial psychiatry work up to all women who were selected for the interview. Analysis revealed about half of the pregnant women having some form of depression. Life events (e.g. chronic illness in the family, marital disharmony, economic crisis to sustain the family) were found to be important risk factors (P<0.05). Antenatal depression is a more common than generally thought.JNMA J Nepal Med Assoc. 2008 Jul-Sep;47(171):128-131.

scholarly journals A cross-sectional study of depression among women attending antenatal clinics in Blantyre district, Malawi

2018 ◽  
Vol 24 ◽  
Author(s):  
Genesis Chorwe-Sungani ◽  
Jennifer Chipps
Keyword(s):  
Risk Factors ◽  
Pregnant Women ◽  
Depression Scale ◽  
Antenatal Depression ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Mini International Neuropsychiatric Interview ◽  
History Of ◽  
Antenatal Clinics

Background: Pregnancy is a period associated with major psychological and social changes in the life of a woman and can be associated with anxiety and depression.Aim: To describe demographic, clinical and risk profile of antenatal depression among pregnant women attending antenatal clinics in Blantyre district, Malawi.Setting: The study was conducted in eight antenatal clinics in Blantyre district, Malawi.Methods: A cross-sectional study of 480 randomly selected pregnant women attending antenatal clinics was conducted. Prevalence was determined using the Edinburgh Postnatal Depression Scale (EPDS) which was validated against a sub-sample using the Mini International Neuropsychiatric Interview. The risk factors of depression were assessed using the Pregnancy Risk Questionnaire. Data were analysed using descriptive statistics, Pearson chi-square test and binary logistic regression.Results: Prevalence of antenatal depression using the EPDS was 19% (95% CI 15.5% – 22.5%, n = 91) and was comparable to the Mini International Neuropsychiatric Interview (25.8% [95% CI = 17.5–34], n = 25). The key risk factors that predicted antenatal depression were: ‘being distressed by anxiety or depression for more than 2 weeks during this pregnancy’ (OR = 4.1 [2.1–7.9], p≤ 0.001); ‘feeling that a relationship with partner is not an emotionally supportive one’ (OR = 3.5 [1.4–8.4], p = 0.01); ‘having major stresses, changes or losses in the course of this pregnancy’ (OR = 3.2 [1.7–6.2], p = 0.01); ‘feeling that father was critical of her when growing up’ (OR = 3.2 [1.4–7.6], p = 0.01); and ‘having history of feeling miserable or depressed for ≥2 weeks before this pregnancy’ (OR = 2.4 [1.3–4.4], p = 0.01).Conclusion: This study confirmed the high-prevalence rate of depression in this group and illustrated that antenatal depression was associated with being distressed by anxiety or depression; support from partner; major stresses during pregnancy; and history of feeling miserable or depressed before pregnancy. This study also found a history of poor relationship between pregnant women and their fathers during childhood.

scholarly journals The Association Between the Use of Antenatal Care Smartphone Apps in Pregnant Women and Antenatal Depression: Cross-Sectional Study (Preprint)

2018 ◽  
Author(s):  
Yushi Mo ◽  
Wenjie Gong ◽  
Joyce Wang ◽  
Xiaoqi Sheng ◽  
Dong R Xu
Keyword(s):  
Logistic Regression ◽  
Antenatal Care ◽  
Pregnant Women ◽  
Protective Factor ◽  
Depression Scale ◽  
Antenatal Depression ◽  
Cross Sectional Study ◽  
Cutoff Score ◽  
Smartphone Apps ◽  
Cross Sectional

BACKGROUND Antenatal care smartphone apps are increasingly used by pregnant women, but studies on their use and impact are scarce. OBJECTIVE This study investigates the use of antenatal care apps in pregnant women and explores the association between the use of these apps and antenatal depression. METHODS This study used a convenient sample of pregnant women recruited from Hunan Provincial Maternal and Child Health Hospital in November 2015. The participants were surveyed for their demographic characteristics, use of antenatal care apps, and antenatal depression. Factors that influenced antenatal pregnancy were analyzed using logistic regression. RESULTS Of the 1304 pregnant women, 71.31% (930/1304) used antenatal care apps. Higher usage of apps was associated with urban residency, nonmigrant status, first pregnancy, planned pregnancy, having no previous children, and opportunity to communicate with peer pregnant women. The cutoff score of the Edinburgh Postnatal Depression Scale was 10, and 46.11% (601/1304) of the pregnant women had depression. Logistic regression showed that depression was associated with the availability of disease-screening functions in the apps (odds ratio (OR) 1.78, 95% CI 1.03-3.06) and spending 30 minutes or more using the app (OR 2.05, 95% CI 1.19-3.52). Using apps with social media features was a protective factor for antenatal depression (OR 0.33, 95% CI 0.12-0.89). CONCLUSIONS The prevalence of the use of prenatal care apps in pregnant women is high. The functions and time spent on these apps are associated with the incidence of antenatal depression.

Antenatal depression and anxiety during the COVID-19 pandemic: a cross-sectional study in pregnant women from routine health care contact in Greece

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Ioannis Tsakiridis ◽  
Themistoklis Dagklis ◽  
Apostolos Mamopoulos ◽  
Apostolos Athanasiadis ◽  
Rebecca Pearson ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Trait Anxiety ◽  
Unplanned Pregnancy ◽  
Depression Scale ◽  
Population Level ◽  
Antenatal Depression ◽  
Cross Sectional Study ◽  
The State ◽  
Cross Sectional ◽  
The Impact

Abstract Objectives The impact of the COVID-19 pandemic and the public health measures introduced to control it, on mental health, is largely unknown. Research conducted during past epidemics found that pregnant women are more vulnerable psychologically. The aim of this study was to investigate antenatal depressive and anxiety symptoms during this pandemic in Greece. Methods All women receiving routine antenatal care, during a three-month period, starting one week after the total lockdown in Greece, in a University department, were asked to fill in two questionnaires, the Edinburg Postnatal Depression Scale (EPDS) and the State-Trait Anxiety Inventory (STAI). Results Overall, 505 women (93.3% of the eligible population) agreed to participate. The prevalence of antenatal depression (EPDS score≥13) in the population of the study was 13.5%. Unplanned pregnancy (OR: 2.447; 95% CI: 1.235–4.846), smoking (OR: 2.268; 95% CI: 1.166–4.411) and antenatal anxiety (OR: 5.074; 95% CI: 2.898–8.883) increased the risk of antenatal depression during the COVID-19 pandemic. State (current)-anxiety affected 34.1% of the participants, whereas Trait (lifetime)-anxiety affected 15.8%. The State-anxiety score (median) was significantly higher than the Trait-anxiety (median) (41 vs. 36; p<0.001), revealing an increase in the levels of anxiety in the pandemic, while there was also a positive linear correlation between the two scales (rho=0.592; p<0.001). Conclusions The unprecedented situation of the COVID-19 pandemic has increased anxiety, but not depression levels of pregnant women in Greece. Population level interventions to address adverse effects on anxiety status in the initial phases of similar situations may be helpful in the future.

Psychometric Properties of the Dutch Version of the Signs of Depression Scale

2016 ◽  
Vol 27 (5) ◽  
pp. 617-637 ◽  
Author(s):  
Mariska J. van Dijk ◽  
Janneke M. de Man-van Ginkel ◽  
Thóra B. Hafsteinsdóttir ◽  
Marieke J. Schuurmans
Keyword(s):  
Psychometric Properties ◽  
Intraclass Correlation ◽  
Depression Scale ◽  
Cross Sectional Study ◽  
Cutoff Score ◽  
Stroke Patients ◽  
Dutch Version ◽  
Cross Sectional ◽  
Symptoms Of Depression ◽  
Patient Health

The early detection of depression after stroke is essential for the optimization of recovery in aphasic stroke patients. The purpose of this study was to evaluate the psychometric properties of the Signs of Depression Scale (SODS), a non-language-based screening instrument. We conducted a cross-sectional study in a sample of 58 stroke patients in a rehabilitation center. The internal consistency and interrater reliability were good (α = .71 and intraclass correlation coefficient [ICC] = .79). The pre-defined hypotheses confirmed the construct validity, and the correlation between the SODS and the Patient Health Questionnaire–9 (PHQ-9) was moderate ( rb = .32). At a cutoff score of ≥1, the sensitivity was 0.80, and the specificity was 0.39. These findings indicate that the SODS is appropriate to screen for depressive symptoms and can be used by nurses to identify symptoms of depression in patients with aphasia who require further assessment.

What Is the Prevalence of Measles Immunity among Pregnant Women?

2020 ◽  
Vol 38 (01) ◽  
pp. 016-022
Author(s):  
Melissa T. Chu Lam ◽  
Emily Schmidt-Beuchat ◽  
Emma Geduldig ◽  
Lois E. Brustman ◽  
Katie Hyewon Choi ◽  
...  
Keyword(s):  
New York ◽  
Pregnant Women ◽  
Characteristic Curve ◽  
Private Insurance ◽  
Area Under The Curve ◽  
Patient Characteristics ◽  
Cross Sectional Study ◽  
Chi Square ◽  
Cross Sectional ◽  
Vaccination History

Objective This study aimed to estimate the prevalence of measles immunity in a cohort of pregnant women in New York City and determine if there is a positive correlation of measles immunity with patient demographics, rubella immunity, number of measles, mumps, and rubella vaccine (MMR) doses received, and age at last vaccination. Study Design This is a cross-sectional study of pregnant patients seen at a single institution from January 2019 to May 2019. Patients were classified as measles and rubella immune or nonimmune using commercial immunoglobulin G (IgG) tests. Patient characteristics were compared using t-tests, Chi-square tests, or Fisher's exact tests as appropriate. The association of age at last vaccination with immunity status was assessed using multivariable logistic regression adjusted for age at presentation. The utility of rubella IgG for distinguishing measles immunity was assessed using receiver operating characteristic curve analysis. Results Serologic immunity for measles and rubella was obtained for 1,366 patients. Of these, 1,047 (77%) were measles immune and 1,291 (95%) were rubella immune. Patients born after 1989 were less likely to be immune to measles, while multiparity and private insurance were associated with increased measles immunity. Documentation of MMR vaccination was available for 140 (10%) patients. Of these, 44 (31%) were serologically nonimmune to measles and 9 (6.4%) were nonimmune to rubella. In patients known to have received one dose of MMR, 62% (24/39) were immune to measles with an improvement to 72% (69/96) among those who received two or more doses. Age at last vaccination was not associated with measles immunity. Rubella IgG level was a poor predictor of positive measles titer (area under the curve = 0.59). Conclusion Approximately one of every four pregnant patients is serologically measles nonimmune, even among women with documented MMR vaccination or documented rubella immunity. These findings raise concerns that relying on vaccination history or rubella immune status may not be sufficient to assure protection from infection with measles. If further suggests that measles serology should be added to routine prenatal laboratory testing to identify nonimmune patients that may benefit from postpartum vaccination. Key Points

scholarly journals Factors associated with antenatal depression among pregnant women in Vietnam: A multisite cross-sectional survey

2020 ◽  
Vol 7 (1) ◽  
pp. 205510292091407
Author(s):  
Mai Thi Hue ◽  
Nguyen Hang Nguyet Van ◽  
Phung Phuong Nha ◽  
Ngo Tuan Vu ◽  
Pham Minh Duc ◽  
...  
Keyword(s):  
Pregnant Women ◽  
Antenatal Depression ◽  
Cross Sectional Study ◽  
Tobit Regression ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Screening Programs ◽  
Factors Associated ◽  
The Status ◽  
Structured Questionnaire

This study aimed to describe the status of antenatal depression and its associated factors among pregnant women in Vietnam. A cross-sectional study was conducted in four obstetric hospitals in Vietnam from January to September 2019. A total of 1260 pregnant women were interviewed using a structured questionnaire. A Tobit regression model was used to determine factors associated with antenatal depression. Results showed that pregnant women were at high risk of antenatal depression (24.5%). Women with fetus abnormalities and higher education were at higher risk of antenatal depression. We highlighted the need for implementing formal screening programs to early detect antenatal depression.

Cut-off points of anthropometric markers associated with hypertension and diabetes in Peru: Demographic and Health Survey 2018

2020 ◽  
pp. 1-11
Author(s):  
Akram Hernández-Vásquez ◽  
Diego Azañedo ◽  
Rodrigo Vargas-Fernández ◽  
Juan Pablo Aparco ◽  
Raul Martín Chaparro ◽  
...  
Keyword(s):  
Area Under The Curve ◽  
Cross Sectional Study ◽  
Age Group ◽  
Likelihood Ratios ◽  
Cross Sectional ◽  
Increased Risk ◽  
The Mean ◽  
Conicity Index ◽  
Anthropometric Markers ◽  
Youden’S Index

Abstract Objective: To determine the optimal anthropometric cut-off points for predicting the likelihood ratios of hypertension and diabetes in the Peruvian population. Design: A cross-sectional study was performed to establish cut-off values for body mass index (BMI), waist circumference (WC), waist:height ratio (WHtR) and Conicity index (C-index) associated with increased risk of hypertension and diabetes. Youden’s index (YIndex), area under the curve (AUC), sensitivity and specificity were calculated. Setting: Peruvian households. Participants: Peruvian population over the age of 18 years. Results: A total of 31 553 subjects were included, 57 % being women. Among the women, 53·06 % belonged to the 25- to 44-year-old age group [mean age: 41·66 in men and 40·02 in women]. The mean BMI, WHtR and C-index values were higher in women 27·49, 0·61, 1·30, respectively, while the mean WC value was higher in men 92·12 cm (sd ± 11·28). The best predictors of hypertension in men were the WHtR (AUC = 0·64) and the C-index (AUC = 0·64) with an optimal cut-off point of 0·57 (YIndex = 0·284) and 1·301 (YIndex = 0·284), respectively. Women showed an AUC of 0·63 and 0·61 in the WHtR and C-index, respectively, with an optimal cut-off of 0·61 (YIndex = 0·236) and 1·323 (YIndex = 0·225). The best predictor for diabetes was the C-index: with an AUC = 0·67 and an optimal cut-off of 1·337 (YIndex = 0·346) for men and an AUC = 0·66 and optimal cut-off of 1·313 (YIndex = 0·319) for women. Conclusions: Our findings show that in Peruvian adults, the WHtR and the C-index have the strongest association with hypertension in both sexes. Likewise, the C-index had the strongest association with diabetes.

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